1a) As Quality Control Inspector, you have previously believed a claim that 3.2% of items made on your production line are defective.
To see if you should still believe this claim: You decide to do a two-sided significance test, with a significance level of 2%.
You then randomly sample 420 items from the production line, and find that 22 of the items are defective.
In percentage form, and rounded to four digits past the decimal point: What is the approximate P-value of your test?
1b)
Which of the following are correct general statements about the conclusion that you find from your significance test?
(Select all that apply. To be marked correct: All of the correct selections must be made, with no incorrect selections.)
Question 2 options:
Your sample results are statistically significant. |
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Based upon the evidence from your significance test, you have no reason to stop believing the null hypothesis claim. |
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You fail to reject the null hypothesis. |
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Based upon the evidence from your significance test, you should no longer believe the null hypothesis claim. |
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You reject the null hypothesis in favor of the two-sided alternative. |
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Your sample results are not statistically significant. |
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The P-value from your test, is less than or equal to your chosen alpha-value. |
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The P-value from your test, is greater than your chosen alpha-value. |
Include a percentage symbol at the end of your numerical answer (with no spaces).
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